Listar ITIS - Artículos por título
Mostrando ítems 57-76 de 88
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On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
(SpringerLink, 2023-05-23) -
OneSpace: Detecting cross-language clones by learning a common embedding space
(Elsevier, 2024)Identifying clone code fragments across different languages can enhance the productivity of software developers in several ways. However, the clone detection task is often studied in the context of a single language and ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
(Elsevier, 2020)Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ... -
Parallel multi-objective metaheuristics for smart communications in vehicular networks.
(Springer Nature, 2015)This article analyzes the use of two parallel multi-objective soft computing algorithms to automatically search for high-quality settings of the Ad hoc On Demand Vector routing protocol for vehicular networks. These methods ... -
Preference-Based Evolutionary Multiobjective Optimization Through the Use of Reservation and Aspiration Points
(IEEE (Institute of Electrical and Electronics Engineers), 2021)Preference-based Evolutionary Multiobjective Optimization (EMO) algorithms approximate the region of interest (ROI) of the Pareto optimal front defined by the preferences of a decision maker (DM). Here, we propose a ... -
Random Error Sampling-based Recurrent Neural Network Architecture Optimization.
(Elsevier, 2020-09-15)Recurrent neural networks are good at solving prediction problems. However, finding a network that suits a problem is quite hard because their performance is strongly affected by their architecture configuration. Automatic ... -
Real-Time Crowd Counting based on wearable Ephemeral IDs
(SCITEPRESS, 2022)Crowd Counting is a very interesting problem aiming at counting people typically based on density averages and/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments with high ... -
Revisiting Fault Localization Techniques for Model Transformations: Towards A Hybrid Approach
(AITO, 2022-10-01)The correctness of software built through model transformations highly depends on the correctness of these transformations. Different approaches have been proposed to ensure the correctness of model transformations by ... -
SALON ontology for the formal description of sequence alignments.
(BMC, 2023-02-27)Background Information provided by high-throughput sequencing platforms allows the collection of content-rich data about biological sequences and their context. Sequence alignment is a bioinformatics approach to identifying ... -
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin.
(Springer Nature, 2023-06-02)The production of land cover maps is an everyday use of image classification applications on remote sensing. However, managing Earth observation satellite data for a large region of interest is challenging in the task of ... -
Security-enhanced ambient assisted living supporting school activities during hospitalisation
(Springer-Verlag, 2010)El artículo aborda los efectos negativos que las hospitalizaciones prolongadas tienen en los niños, como el estrés, los trastornos del sueño y la disminución del rendimiento escolar. El aislamiento de los niños de sus ... -
Self-healing trans-cloud applications.
(Springer Nature, 2022-07-04)Trans-cloud applications consist of multiple interacting components deployed across different cloud providers and at different service layers (IaaS and PaaS). In such complex deployment scenarios, fault handling and recovery ... -
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks
(World Scientific, 2024)Typically, deep learning models for image segmentation tasks are trained using large datasets of images annotated at the pixel level, which can be expensive and highly time-consuming. A way to reduce the amount of annotated ... -
Service-based Analytics for 5G Open Experimentation Platforms.
(Elsevier, 2022-01-07)A scalable, flexible and reliable Analytics service has become a requirement toward building efficient Fifth Generation (5G) experimental platforms that can support a suite of end-user experiments and verticals. Our paper ... -
Simulation and analysis of MultEcore multilevel models based on rewriting logic.
(Springer Nature, 2021)Multilevel modelling (MLM) approaches make it possible for designers and modellers to work with an unlimited number of abstraction levels when specifying domain-specific modelling languages (DSMLs). In this paper, we ... -
Smart Rollators Aid Devices: Current Trends and Challenges.
(IEEE, 2022-08-26)Mobility loss has a major impact on autonomy. Smart rollators have been proposed to enhance human abilities when conventional devices are not enough. Many human-robot interaction systems have been proposed in the last ... -
Software Systems from Smart City Vendors
(Elsevier, 2020)The concept of a smart city has recently gained attention in academic, industry, and governments. Smart cities could be considered as urban areas that use data collection sensors and digital technologies which cooperate ... -
Specifying Quantities in Software Models
(2020-06-08)Context: An essential requirement for the design and development of any engineering application that deals with real-world physical systems is the formal representation and processing of physical quantities, comprising ... -
STAN: analysis of data traces using an event-driven interval temporal logic
(Springer Nature, 2022-11-30)The increasing integration of systems into people’s daily routines, especially smartphones, requires ensuring correctness of their functionality and even some performance requirements. Sometimes, we can only observe the ...